# Development Tools

BaseMcpServer is a basic Docker - based MCP server image that provides a standardized Python environment and protocol support for quickly building and deploying MCP services.

This project is a Shopify MCP proxy and mock server that provides a secure and transparent bridge to the Shopify Storefront API for developers. It supports the mock.shop testing environment and integrates with client tools through standard input and output.

This is a Deno - based MCP server project that provides integration functions for development tools with platforms such as GitHub, JIRA, and Slack, and supports calling various development assistance tools through Roo Code.

The MCP service project on the Box platform supports developer token authentication and provides file search and reading functions (currently supports PDF and Word formats).

Context7 MCP is a service that provides real - time code documentation for AI programming assistants. It directly obtains the latest library documentation and code examples through the Model Context Protocol, solving the problem of LLM using outdated information. It supports installation in multiple development environments and clients.

This project provides a configuration guide for the MCP service integrated with Shortcut, supporting operation in AI development tools such as Windsurf, Cursor, and Claude Code, including installation instructions, FAQs, and local development testing methods.

An MCP server project for integrating NASA API, supporting querying near-Earth object information by date and providing development tools and configuration examples.

This is an MCP service project based on the NCKUHub API, providing functions for development, testing, and starting the service, and supporting configuration and operation through an AI IDE.

This is a curated list of resources for the Model Context Protocol (MCP) ecosystem, covering multiple categories such as official resources, development tools, MCP servers, web integrations, databases, blockchains, AI integrations, voice, mobile applications, development environments, security testing, productivity tools, and system tools.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integration, and other context services.

An MCP server tool that provides AI SDK documentation, examples, and provider information

This project provides a set of script tools for conveniently starting and managing MCP (Model Context Protocol) servers. It supports foreground and background modes and includes functions such as log management and process monitoring.

The Metal MCP Server provides document search and code generation functions for the Metal framework, supporting natural language queries and code generation in multiple programming languages.

This is a Python project template that integrates code inspection and formatting tools such as ruff and black, uses pre-commit to manage hooks, includes the pytest testing framework and coverage plugin, and implements automated testing through Github Actions. It supports the devcontainer development environment and traditional virtual environments.

The tutorial guides you on how to deploy both Go and Node MCP servers in VS Code and conduct test development as a client.

Strapi MCP is an MCP server designed for Strapi CMS, providing the ability to access content types and entries through the Model Context Protocol, and supporting operations such as content management, media uploads, and relationship connections.

An MCP protocol server implemented with Node.js, Express, and TypeScript, providing tool, resource, and prompt functions, supporting both command - line and HTTP access methods.

workers-mcp is a toolkit that connects Cloudflare Workers to MCP clients, allowing developers to expose Worker functions for use by MCP clients such as Claude Desktop.

Provides coding specifications and best practices services for multiple programming languages

An MCP server integrated with Sourcegraph, providing code search and analysis capabilities for LLMs.

This project is an MCP server integrated with Stable Diffusion image generation functionality, providing image generation services for AI agents, including development and debugging tools and Goose platform integration capabilities.

Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

Parallel Task MCP is a tool that allows you to directly initiate in - depth research or task groups from the LLM client, which can be used to explore the functions of Parallel APIs or conduct small - scale experimental development

The Aider MCP Server is a bridge connecting AI assistants and the Aider file - editing tool. Through the standardized Model Context Protocol, it provides functions such as file editing, creation, and code extraction, and supports integration with multiple clients.

Project startup involves creating a virtual environment, synchronizing dependencies, and running a development server. Pay attention to code hot reload and API key management, and refer to other MCP service implementations.

A VS Code extension that implements the MCP protocol server, allowing AI clients to directly operate the code editor

This is an unofficial MCP server for the Mapy.cz API. Developers need to comply with Mapy.cz's terms of use.

A custom GitLab MCP server for integrating with AI assistants such as Claude, providing GitLab repository operation functions.

An MCP server template customized for Cursor IDE, supporting multiple deployment methods and enabling the quick creation of custom tools.

An implementation of a Figma API server based on the Model Context Protocol (MCP), supporting Figma plugin and widget integration, and providing a rich set of Figma operation tools and a development environment.